Overview

Brought to you by YData

Dataset statistics

Number of variables21
Number of observations6156
Missing cells232
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 MiB
Average record size in memory234.0 B

Variable types

DateTime1
Numeric19
Categorical1

Alerts

volume has constant value "0"Constant
close is highly overall correlated with high and 6 other fieldsHigh correlation
daily_return is highly overall correlated with log_returnHigh correlation
high is highly overall correlated with close and 6 other fieldsHigh correlation
log_return is highly overall correlated with daily_returnHigh correlation
low is highly overall correlated with close and 6 other fieldsHigh correlation
ma_20 is highly overall correlated with close and 6 other fieldsHigh correlation
ma_5 is highly overall correlated with close and 6 other fieldsHigh correlation
macd_12_26 is highly overall correlated with macd_signal_12_26 and 4 other fieldsHigh correlation
macd_histogram_12_26 is highly overall correlated with rsi_14 and 3 other fieldsHigh correlation
macd_signal_12_26 is highly overall correlated with macd_12_26 and 1 other fieldsHigh correlation
macd_signal_strength is highly overall correlated with close and 6 other fieldsHigh correlation
open is highly overall correlated with close and 6 other fieldsHigh correlation
price_range is highly overall correlated with close and 6 other fieldsHigh correlation
rsi_14 is highly overall correlated with macd_12_26 and 5 other fieldsHigh correlation
stoch_14 is highly overall correlated with macd_12_26 and 4 other fieldsHigh correlation
stoch_smoothd is highly overall correlated with macd_12_26 and 4 other fieldsHigh correlation
stoch_smoothk is highly overall correlated with macd_12_26 and 4 other fieldsHigh correlation
volatility_20 is highly overall correlated with volatility_5High correlation
volatility_5 is highly overall correlated with volatility_20High correlation
date has unique valuesUnique

Reproduction

Analysis started2025-10-10 13:25:11.714026
Analysis finished2025-10-10 13:26:26.345783
Duration1 minute and 14.63 seconds
Software versionydata-profiling vv4.17.0
Download configurationconfig.json

Variables

date
Date

Unique 

Distinct6156
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size48.2 KiB
Minimum2001-01-01 00:00:00+05:30
Maximum2025-10-03 00:00:00+05:30
Invalid dates0
Invalid dates (%)0.0%
2025-10-10T15:26:26.766235image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:27.083376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

open
Real number (ℝ)

High correlation 

Distinct6066
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8326.8888
Minimum853
Maximum26248.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:27.518961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum853
5-th percentile1067.6875
Q13478.6875
median6002.1
Q311136.1
95-th percentile22945.225
Maximum26248.25
Range25395.25
Interquartile range (IQR)7657.4125

Descriptive statistics

Standard deviation6517.4359
Coefficient of variation (CV)0.78269761
Kurtosis0.18020859
Mean8326.8888
Median Absolute Deviation (MAD)3884.73
Skewness1.0325173
Sum51260327
Variance42476971
MonotonicityNot monotonic
2025-10-10T15:26:27.710260image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1070.953
 
< 0.1%
1036.343
 
< 0.1%
954.82
 
< 0.1%
2785.72
 
< 0.1%
3040.452
 
< 0.1%
5931.152
 
< 0.1%
9732
 
< 0.1%
6186.852
 
< 0.1%
1135.52
 
< 0.1%
973.72
 
< 0.1%
Other values (6056)6134
99.6%
ValueCountFrequency (%)
8531
< 0.1%
861.351
< 0.1%
869.151
< 0.1%
872.151
< 0.1%
873.151
< 0.1%
891.751
< 0.1%
899.651
< 0.1%
899.71
< 0.1%
9031
< 0.1%
903.751
< 0.1%
ValueCountFrequency (%)
26248.251
< 0.1%
26061.31
< 0.1%
26005.41
< 0.1%
25921.451
< 0.1%
25899.451
< 0.1%
25872.551
< 0.1%
25788.451
< 0.1%
25661.651
< 0.1%
25588.31
< 0.1%
25576.651
< 0.1%

high
Real number (ℝ)

High correlation 

Distinct6070
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8373.6434
Minimum877
Maximum26277.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:27.879018image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum877
5-th percentile1075.1625
Q13510.9875
median6032.725
Q311179.887
95-th percentile23032.288
Maximum26277.35
Range25400.35
Interquartile range (IQR)7668.9

Descriptive statistics

Standard deviation6539.6334
Coefficient of variation (CV)0.78097825
Kurtosis0.181784
Mean8373.6434
Median Absolute Deviation (MAD)3899.25
Skewness1.0323594
Sum51548149
Variance42766805
MonotonicityNot monotonic
2025-10-10T15:26:28.037815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
994.153
 
< 0.1%
1116.842
 
< 0.1%
1070.152
 
< 0.1%
1098.592
 
< 0.1%
1071.72
 
< 0.1%
5339.452
 
< 0.1%
1837.952
 
< 0.1%
4291.392
 
< 0.1%
1083.652
 
< 0.1%
5267.152
 
< 0.1%
Other values (6060)6135
99.7%
ValueCountFrequency (%)
8771
< 0.1%
878.61
< 0.1%
893.051
< 0.1%
893.351
< 0.1%
903.751
< 0.1%
910.352
< 0.1%
913.051
< 0.1%
914.251
< 0.1%
914.31
< 0.1%
9151
< 0.1%
ValueCountFrequency (%)
26277.351
< 0.1%
26250.91
< 0.1%
26134.71
< 0.1%
26032.81
< 0.1%
26011.551
< 0.1%
259561
< 0.1%
25907.61
< 0.1%
25849.251
< 0.1%
25669.351
< 0.1%
25654.21
< 0.1%

low
Real number (ℝ)

High correlation 

Distinct6057
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8269.3278
Minimum849.95
Maximum26151.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:28.185687image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum849.95
5-th percentile1060.7625
Q13435.1125
median5961.95
Q311051.263
95-th percentile22803.112
Maximum26151.4
Range25301.45
Interquartile range (IQR)7616.15

Descriptive statistics

Standard deviation6486.2911
Coefficient of variation (CV)0.78437949
Kurtosis0.18571266
Mean8269.3278
Median Absolute Deviation (MAD)3866.15
Skewness1.03505
Sum50905982
Variance42071973
MonotonicityNot monotonic
2025-10-10T15:26:28.523843image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1034.093
 
< 0.1%
1043.33
 
< 0.1%
1067.652
 
< 0.1%
2611.942
 
< 0.1%
4924.32
 
< 0.1%
1117.72
 
< 0.1%
5513.352
 
< 0.1%
936.72
 
< 0.1%
4100.82
 
< 0.1%
3402.92
 
< 0.1%
Other values (6047)6134
99.6%
ValueCountFrequency (%)
849.951
< 0.1%
8531
< 0.1%
858.851
< 0.1%
859.21
< 0.1%
861.051
< 0.1%
868.31
< 0.1%
868.51
< 0.1%
873.71
< 0.1%
884.651
< 0.1%
8911
< 0.1%
ValueCountFrequency (%)
26151.41
< 0.1%
25998.41
< 0.1%
25886.851
< 0.1%
25871.351
< 0.1%
25847.351
< 0.1%
25794.11
< 0.1%
25739.21
< 0.1%
25523.551
< 0.1%
25501.81
< 0.1%
25473.31
< 0.1%

close
Real number (ℝ)

High correlation 

Distinct6043
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8322.7195
Minimum854.2
Maximum26216.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:28.762832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum854.2
5-th percentile1068.0375
Q13478.5625
median5993.025
Q311120.1
95-th percentile22932.562
Maximum26216.05
Range25361.85
Interquartile range (IQR)7641.5375

Descriptive statistics

Standard deviation6513.5108
Coefficient of variation (CV)0.78261808
Kurtosis0.18287157
Mean8322.7195
Median Absolute Deviation (MAD)3886
Skewness1.0335876
Sum51234661
Variance42425822
MonotonicityNot monotonic
2025-10-10T15:26:29.001512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5274.853
 
< 0.1%
954.753
 
< 0.1%
1110.453
 
< 0.1%
1070.653
 
< 0.1%
10673
 
< 0.1%
5486.153
 
< 0.1%
1067.452
 
< 0.1%
1913.62
 
< 0.1%
4958.392
 
< 0.1%
5420.62
 
< 0.1%
Other values (6033)6130
99.6%
ValueCountFrequency (%)
854.21
< 0.1%
861.41
< 0.1%
869.051
< 0.1%
872.251
< 0.1%
873.71
< 0.1%
8901
< 0.1%
898.81
< 0.1%
899.651
< 0.1%
900.21
< 0.1%
901.951
< 0.1%
ValueCountFrequency (%)
26216.051
< 0.1%
26178.951
< 0.1%
26004.151
< 0.1%
25940.41
< 0.1%
25939.051
< 0.1%
25810.851
< 0.1%
25796.91
< 0.1%
25790.951
< 0.1%
25637.81
< 0.1%
255491
< 0.1%

volume
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size300.7 KiB
0
6156 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters6156
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
06156
100.0%

Length

2025-10-10T15:26:29.168335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-10-10T15:26:29.275720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
06156
100.0%

Most occurring characters

ValueCountFrequency (%)
06156
100.0%

Most occurring categories

ValueCountFrequency (%)
(unknown)6156
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
06156
100.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown)6156
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
06156
100.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown)6156
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
06156
100.0%

daily_return
Real number (ℝ)

High correlation 

Distinct6148
Distinct (%)99.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.00057559283
Minimum-0.12980464
Maximum0.17743794
Zeros7
Zeros (%)0.1%
Negative2823
Negative (%)45.9%
Memory size48.2 KiB
2025-10-10T15:26:29.366832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.12980464
5-th percentile-0.019685556
Q1-0.0055214287
median0.00086766738
Q30.007188019
95-th percentile0.01961628
Maximum0.17743794
Range0.30724258
Interquartile range (IQR)0.012709448

Descriptive statistics

Standard deviation0.013400254
Coefficient of variation (CV)23.280787
Kurtosis12.537651
Mean0.00057559283
Median Absolute Deviation (MAD)0.0063382485
Skewness-0.2115726
Sum3.5427738
Variance0.00017956681
MonotonicityNot monotonic
2025-10-10T15:26:29.603308image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07
 
0.1%
-0.0053191489362
 
< 0.1%
-0.013561876061
 
< 0.1%
0.0023332783061
 
< 0.1%
0.01395200511
 
< 0.1%
0.015293285111
 
< 0.1%
0.0012973959981
 
< 0.1%
0.0018331105591
 
< 0.1%
-0.018564403611
 
< 0.1%
-0.0053600559311
 
< 0.1%
Other values (6138)6138
99.7%
ValueCountFrequency (%)
-0.12980464131
< 0.1%
-0.12237740141
< 0.1%
-0.12202911851
< 0.1%
-0.087024345781
< 0.1%
-0.083019391111
< 0.1%
-0.078660844251
< 0.1%
-0.076121022181
< 0.1%
-0.067728535671
< 0.1%
-0.066576669581
< 0.1%
-0.066512031651
< 0.1%
ValueCountFrequency (%)
0.17743793661
< 0.1%
0.087632054231
< 0.1%
0.082952295231
< 0.1%
0.069909716171
< 0.1%
0.069514945021
< 0.1%
0.066247492321
< 0.1%
0.064254028261
< 0.1%
0.063549098921
< 0.1%
0.063050744451
< 0.1%
0.062068050541
< 0.1%

log_return
Real number (ℝ)

High correlation 

Distinct6148
Distinct (%)99.9%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.0004854686
Minimum-0.13903754
Maximum0.16334084
Zeros7
Zeros (%)0.1%
Negative2823
Negative (%)45.9%
Memory size48.2 KiB
2025-10-10T15:26:29.873608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-0.13903754
5-th percentile-0.019881897
Q1-0.0055367282
median0.00086729117
Q30.0071623083
95-th percentile0.01942636
Maximum0.16334084
Range0.30237838
Interquartile range (IQR)0.012699037

Descriptive statistics

Standard deviation0.013428104
Coefficient of variation (CV)27.660088
Kurtosis12.274173
Mean0.0004854686
Median Absolute Deviation (MAD)0.0063219022
Skewness-0.49655986
Sum2.9880592
Variance0.00018031398
MonotonicityNot monotonic
2025-10-10T15:26:30.242587image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07
 
0.1%
-0.0053333459752
 
< 0.1%
-0.01365467831
 
< 0.1%
0.0023305604391
 
< 0.1%
0.01385557181
 
< 0.1%
0.01517752161
 
< 0.1%
0.0012965551071
 
< 0.1%
0.0018314324631
 
< 0.1%
-0.018738884961
 
< 0.1%
-0.005374472571
 
< 0.1%
Other values (6138)6138
99.7%
ValueCountFrequency (%)
-0.13903754231
< 0.1%
-0.13053861991
< 0.1%
-0.13014185041
< 0.1%
-0.091046064441
< 0.1%
-0.08666895321
< 0.1%
-0.081927063231
< 0.1%
-0.07917419231
< 0.1%
-0.070131235961
< 0.1%
-0.068896450681
< 0.1%
-0.068827204831
< 0.1%
ValueCountFrequency (%)
0.16334083781
< 0.1%
0.084002905791
< 0.1%
0.079690918321
< 0.1%
0.06757426751
< 0.1%
0.067205223281
< 0.1%
0.064145467961
< 0.1%
0.062274110791
< 0.1%
0.061611521891
< 0.1%
0.061142835241
< 0.1%
0.060217998491
< 0.1%

price_range
Real number (ℝ)

High correlation 

Distinct4746
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.3156
Minimum5.35
Maximum1898.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:30.521065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum5.35
5-th percentile15.3375
Q145.7375
median80.725
Q3135.3
95-th percentile265.0875
Maximum1898.05
Range1892.7
Interquartile range (IQR)89.5625

Descriptive statistics

Standard deviation92.88676
Coefficient of variation (CV)0.89043976
Kurtosis40.694733
Mean104.3156
Median Absolute Deviation (MAD)41.725
Skewness3.8557885
Sum642166.85
Variance8627.9503
MonotonicityNot monotonic
2025-10-10T15:26:30.756803image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70.256
 
0.1%
11.86
 
0.1%
17.756
 
0.1%
72.756
 
0.1%
16.55
 
0.1%
495
 
0.1%
895
 
0.1%
12.755
 
0.1%
9.255
 
0.1%
24.255
 
0.1%
Other values (4736)6102
99.1%
ValueCountFrequency (%)
5.351
< 0.1%
5.71
< 0.1%
5.81
< 0.1%
5.851
< 0.1%
6.051
< 0.1%
6.11
< 0.1%
6.351
< 0.1%
6.411
< 0.1%
6.451
< 0.1%
6.51
< 0.1%
ValueCountFrequency (%)
1898.051
< 0.1%
1604.251
< 0.1%
927.151
< 0.1%
878.451
< 0.1%
754.851
< 0.1%
742.91
< 0.1%
727.91
< 0.1%
720.51
< 0.1%
711.151
< 0.1%
704.81
< 0.1%

ma_5
Real number (ℝ)

High correlation 

Distinct6142
Distinct (%)99.8%
Missing4
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean8319.6567
Minimum869.67
Maximum26055.72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:30.950881image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum869.67
5-th percentile1069.0616
Q13470.92
median5994.685
Q311088.945
95-th percentile22878.251
Maximum26055.72
Range25186.05
Interquartile range (IQR)7618.025

Descriptive statistics

Standard deviation6506.9621
Coefficient of variation (CV)0.78211905
Kurtosis0.18348681
Mean8319.6567
Median Absolute Deviation (MAD)3883.021
Skewness1.033377
Sum51182528
Variance42340555
MonotonicityNot monotonic
2025-10-10T15:26:31.125261image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5953.412
 
< 0.1%
1051.832
 
< 0.1%
5765.152
 
< 0.1%
1076.932
 
< 0.1%
1386.652
 
< 0.1%
5390.92
 
< 0.1%
1374.42
 
< 0.1%
7791.32
 
< 0.1%
10486.692
 
< 0.1%
16358.872
 
< 0.1%
Other values (6132)6132
99.6%
(Missing)4
 
0.1%
ValueCountFrequency (%)
869.671
< 0.1%
871.431
< 0.1%
879.131
< 0.1%
881.61
< 0.1%
886.891
< 0.1%
887.531
< 0.1%
889.811
< 0.1%
897.461
< 0.1%
900.631
< 0.1%
905.051
< 0.1%
ValueCountFrequency (%)
26055.721
< 0.1%
26030.081
< 0.1%
26001.381
< 0.1%
25978.121
< 0.1%
25850.571
< 0.1%
25818.071
< 0.1%
25692.751
< 0.1%
25610.281
< 0.1%
25588.381
< 0.1%
25539.811
< 0.1%

ma_20
Real number (ℝ)

High correlation 

Distinct6137
Distinct (%)100.0%
Missing19
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean8307.8391
Minimum903.5825
Maximum25508.083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:31.283759image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum903.5825
5-th percentile1068.9477
Q13487.3175
median5972.6125
Q311105.382
95-th percentile22870.696
Maximum25508.083
Range24604.5
Interquartile range (IQR)7618.065

Descriptive statistics

Standard deviation6481.9996
Coefficient of variation (CV)0.78022691
Kurtosis0.18569948
Mean8307.8391
Median Absolute Deviation (MAD)3869.2835
Skewness1.0324031
Sum50985209
Variance42016319
MonotonicityNot monotonic
2025-10-10T15:26:31.615365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1338.921
 
< 0.1%
1344.331
 
< 0.1%
24747.8651
 
< 0.1%
1368.2271
 
< 0.1%
24786.77751
 
< 0.1%
24760.87251
 
< 0.1%
1350.5951
 
< 0.1%
24990.771
 
< 0.1%
1311.08251
 
< 0.1%
1332.071
 
< 0.1%
Other values (6127)6127
99.5%
(Missing)19
 
0.3%
ValueCountFrequency (%)
903.58251
< 0.1%
904.14751
< 0.1%
905.51251
< 0.1%
905.76751
< 0.1%
909.6651
< 0.1%
910.71751
< 0.1%
915.021
< 0.1%
915.71
< 0.1%
918.01251
< 0.1%
921.9051
< 0.1%
ValueCountFrequency (%)
25508.08251
< 0.1%
25505.51251
< 0.1%
25503.61751
< 0.1%
25502.5751
< 0.1%
25501.55751
< 0.1%
25499.61751
< 0.1%
25498.73751
< 0.1%
25482.3851
< 0.1%
25479.661
< 0.1%
25470.95751
< 0.1%

volatility_5
Real number (ℝ)

High correlation 

Distinct6151
Distinct (%)100.0%
Missing5
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.010674203
Minimum0.00097879931
Maximum0.084899011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:31.902880image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00097879931
5-th percentile0.003357962
Q10.0058988975
median0.0086092508
Q30.012709923
95-th percentile0.02456645
Maximum0.084899011
Range0.083920211
Interquartile range (IQR)0.0068110256

Descriptive statistics

Standard deviation0.0080042595
Coefficient of variation (CV)0.74986951
Kurtosis18.298852
Mean0.010674203
Median Absolute Deviation (MAD)0.0031682874
Skewness3.2891237
Sum65.657023
Variance6.4068169 × 10-5
MonotonicityNot monotonic
2025-10-10T15:26:32.111285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0099602366151
 
< 0.1%
0.0092550294731
 
< 0.1%
0.0097768441951
 
< 0.1%
0.0052537462021
 
< 0.1%
0.011703334441
 
< 0.1%
0.001738290061
 
< 0.1%
0.0018180839451
 
< 0.1%
0.012367086551
 
< 0.1%
0.0023784631041
 
< 0.1%
0.0066802640441
 
< 0.1%
Other values (6141)6141
99.8%
(Missing)5
 
0.1%
ValueCountFrequency (%)
0.00097879931461
< 0.1%
0.00098396404031
< 0.1%
0.0010668866281
< 0.1%
0.0010694857251
< 0.1%
0.0011063367041
< 0.1%
0.0012265279091
< 0.1%
0.001235123641
< 0.1%
0.0012679845031
< 0.1%
0.0013021890041
< 0.1%
0.0013227875331
< 0.1%
ValueCountFrequency (%)
0.08489901081
< 0.1%
0.084308426341
< 0.1%
0.081949809111
< 0.1%
0.081066949531
< 0.1%
0.080901066191
< 0.1%
0.080765287031
< 0.1%
0.080712156011
< 0.1%
0.080394131991
< 0.1%
0.080304080181
< 0.1%
0.078456186151
< 0.1%

volatility_20
Real number (ℝ)

High correlation 

Distinct6136
Distinct (%)100.0%
Missing20
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean0.011494748
Minimum0.003169214
Maximum0.055962642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:32.316890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.003169214
5-th percentile0.0052438279
Q10.0073045635
median0.009633455
Q30.013152563
95-th percentile0.024279384
Maximum0.055962642
Range0.052793428
Interquartile range (IQR)0.0058479992

Descriptive statistics

Standard deviation0.006850018
Coefficient of variation (CV)0.59592588
Kurtosis9.604186
Mean0.011494748
Median Absolute Deviation (MAD)0.0027101499
Skewness2.6462096
Sum70.531775
Variance4.6922746 × 10-5
MonotonicityNot monotonic
2025-10-10T15:26:32.505443image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011871643381
 
< 0.1%
0.011296183471
 
< 0.1%
0.0061042017671
 
< 0.1%
0.017458207961
 
< 0.1%
0.0053524941531
 
< 0.1%
0.0054686723671
 
< 0.1%
0.011090903971
 
< 0.1%
0.0046642776771
 
< 0.1%
0.012329800021
 
< 0.1%
0.011207523291
 
< 0.1%
Other values (6126)6126
99.5%
(Missing)20
 
0.3%
ValueCountFrequency (%)
0.0031692139931
< 0.1%
0.0032095927141
< 0.1%
0.0032347981191
< 0.1%
0.0033978032811
< 0.1%
0.0034768437131
< 0.1%
0.0034994056671
< 0.1%
0.0035063700761
< 0.1%
0.0035114003831
< 0.1%
0.0035225058131
< 0.1%
0.0035457717691
< 0.1%
ValueCountFrequency (%)
0.055962641771
< 0.1%
0.055956360641
< 0.1%
0.055712855921
< 0.1%
0.055627589361
< 0.1%
0.052959899121
< 0.1%
0.052663715641
< 0.1%
0.052656062221
< 0.1%
0.052415852891
< 0.1%
0.052306915931
< 0.1%
0.052294169411
< 0.1%

rsi_14
Real number (ℝ)

High correlation 

Distinct6138
Distinct (%)99.9%
Missing13
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean54.430913
Minimum7.0284688
Maximum88.750235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:32.661807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum7.0284688
5-th percentile32.810387
Q144.991883
median55.026561
Q364.125275
95-th percentile74.968404
Maximum88.750235
Range81.721766
Interquartile range (IQR)19.133392

Descriptive statistics

Standard deviation13.0223
Coefficient of variation (CV)0.23924457
Kurtosis-0.55189836
Mean54.430913
Median Absolute Deviation (MAD)9.5681852
Skewness-0.13552315
Sum334369.1
Variance169.58031
MonotonicityNot monotonic
2025-10-10T15:26:32.824142image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.762720892
 
< 0.1%
69.202676912
 
< 0.1%
76.171254212
 
< 0.1%
44.463196812
 
< 0.1%
47.262285762
 
< 0.1%
57.792190321
 
< 0.1%
56.805727451
 
< 0.1%
67.870424831
 
< 0.1%
49.291356781
 
< 0.1%
65.594766071
 
< 0.1%
Other values (6128)6128
99.5%
(Missing)13
 
0.2%
ValueCountFrequency (%)
7.0284688071
< 0.1%
9.3349228741
< 0.1%
13.046486351
< 0.1%
14.015107171
< 0.1%
14.276155811
< 0.1%
15.150103181
< 0.1%
15.469307971
< 0.1%
16.848589211
< 0.1%
17.159010751
< 0.1%
17.574126631
< 0.1%
ValueCountFrequency (%)
88.750235211
< 0.1%
88.338518141
< 0.1%
87.050914941
< 0.1%
86.770869281
< 0.1%
86.621513831
< 0.1%
85.598901861
< 0.1%
84.918425121
< 0.1%
84.59654811
< 0.1%
84.430118361
< 0.1%
84.151038751
< 0.1%

macd_12_26
Real number (ℝ)

High correlation 

Distinct6131
Distinct (%)100.0%
Missing25
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean26.969717
Minimum-1003.6168
Maximum450.13563
Zeros0
Zeros (%)0.0%
Negative2271
Negative (%)36.9%
Memory size48.2 KiB
2025-10-10T15:26:32.984715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-1003.6168
5-th percentile-154.71785
Q1-22.669752
median26.117032
Q377.130962
95-th percentile230.86677
Maximum450.13563
Range1453.7524
Interquartile range (IQR)99.800714

Descriptive statistics

Standard deviation117.55647
Coefficient of variation (CV)4.3588324
Kurtosis8.5863924
Mean26.969717
Median Absolute Deviation (MAD)49.895442
Skewness-0.86689358
Sum165351.33
Variance13819.525
MonotonicityNot monotonic
2025-10-10T15:26:33.189533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-6.4377323761
 
< 0.1%
27.936345371
 
< 0.1%
-19.562606521
 
< 0.1%
-83.13389711
 
< 0.1%
28.180961181
 
< 0.1%
27.173968311
 
< 0.1%
26.246848891
 
< 0.1%
27.084041961
 
< 0.1%
24.611369381
 
< 0.1%
22.668832531
 
< 0.1%
Other values (6121)6121
99.4%
(Missing)25
 
0.4%
ValueCountFrequency (%)
-1003.6167591
< 0.1%
-988.13239511
< 0.1%
-956.16273911
< 0.1%
-938.92575811
< 0.1%
-888.17382591
< 0.1%
-868.5348611
< 0.1%
-862.25942331
< 0.1%
-845.44669051
< 0.1%
-817.99054541
< 0.1%
-796.50687311
< 0.1%
ValueCountFrequency (%)
450.13563441
< 0.1%
441.04339011
< 0.1%
427.96248521
< 0.1%
426.53083991
< 0.1%
426.07884951
< 0.1%
425.47960761
< 0.1%
424.72695821
< 0.1%
423.12003091
< 0.1%
418.5740051
< 0.1%
414.08138561
< 0.1%

macd_signal_12_26
Real number (ℝ)

High correlation 

Distinct6123
Distinct (%)100.0%
Missing33
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean26.97039
Minimum-846.06417
Maximum413.25635
Zeros0
Zeros (%)0.0%
Negative2230
Negative (%)36.2%
Memory size48.2 KiB
2025-10-10T15:26:33.505696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-846.06417
5-th percentile-143.37738
Q1-21.22864
median26.094897
Q374.053989
95-th percentile219.63958
Maximum413.25635
Range1259.3205
Interquartile range (IQR)95.282629

Descriptive statistics

Standard deviation111.07126
Coefficient of variation (CV)4.1182669
Kurtosis7.6994928
Mean26.97039
Median Absolute Deviation (MAD)47.734841
Skewness-0.76827156
Sum165139.7
Variance12336.826
MonotonicityNot monotonic
2025-10-10T15:26:33.837413image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-122.15464271
 
< 0.1%
-40.800330431
 
< 0.1%
-30.639151841
 
< 0.1%
-41.387392031
 
< 0.1%
1.9185206711
 
< 0.1%
25.801886431
 
< 0.1%
26.630119241
 
< 0.1%
25.83786191
 
< 0.1%
24.832846361
 
< 0.1%
23.471190381
 
< 0.1%
Other values (6113)6113
99.3%
(Missing)33
 
0.5%
ValueCountFrequency (%)
-846.06416681
< 0.1%
-840.44944251
< 0.1%
-840.44649331
< 0.1%
-831.66092871
< 0.1%
-828.51466011
< 0.1%
-822.1604211
< 0.1%
-800.91188561
< 0.1%
-799.53570371
< 0.1%
-768.74192681
< 0.1%
-754.10675831
< 0.1%
ValueCountFrequency (%)
413.25634711
< 0.1%
412.58694411
< 0.1%
410.79042611
< 0.1%
406.96832031
< 0.1%
406.67866991
< 0.1%
402.52866081
< 0.1%
400.15892431
< 0.1%
399.59850171
< 0.1%
399.12315251
< 0.1%
397.99475221
< 0.1%

macd_histogram_12_26
Real number (ℝ)

High correlation 

Distinct6123
Distinct (%)100.0%
Missing33
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean-0.00087076288
Minimum-278.98544
Maximum208.12098
Zeros0
Zeros (%)0.0%
Negative2965
Negative (%)48.2%
Memory size48.2 KiB
2025-10-10T15:26:34.128813image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-278.98544
5-th percentile-53.890384
Q1-15.569893
median0.61598695
Q314.698084
95-th percentile53.015164
Maximum208.12098
Range487.10642
Interquartile range (IQR)30.267977

Descriptive statistics

Standard deviation34.649749
Coefficient of variation (CV)-39792.405
Kurtosis6.5581381
Mean-0.00087076288
Median Absolute Deviation (MAD)15.119498
Skewness-0.14576384
Sum-5.3316811
Variance1200.6051
MonotonicityNot monotonic
2025-10-10T15:26:34.354054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.020745611
 
< 0.1%
-2.3988759661
 
< 0.1%
42.992960771
 
< 0.1%
34.949659661
 
< 0.1%
-12.167455461
 
< 0.1%
-45.364492961
 
< 0.1%
-2.0187498561
 
< 0.1%
-3.1690293691
 
< 0.1%
-4.0200621621
 
< 0.1%
-5.4466239261
 
< 0.1%
Other values (6113)6113
99.3%
(Missing)33
 
0.5%
ValueCountFrequency (%)
-278.98543641
< 0.1%
-265.89886471
< 0.1%
-264.4334811
< 0.1%
-249.51000051
< 0.1%
-236.63853541
< 0.1%
-236.46342161
< 0.1%
-214.19643971
< 0.1%
-187.22050941
< 0.1%
-179.94243611
< 0.1%
-178.81253521
< 0.1%
ValueCountFrequency (%)
208.12097971
< 0.1%
205.3950611
< 0.1%
191.13883911
< 0.1%
188.81879021
< 0.1%
185.42091431
< 0.1%
185.4100721
< 0.1%
178.58239871
< 0.1%
176.58078261
< 0.1%
171.91528721
< 0.1%
167.38275611
< 0.1%

macd_signal_strength
Real number (ℝ)

High correlation 

Distinct6123
Distinct (%)100.0%
Missing33
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean23.130063
Minimum0.0027167435
Maximum278.98544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:34.544133image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.0027167435
5-th percentile1.0614914
Q15.8287116
median15.131542
Q331.457506
95-th percentile71.830715
Maximum278.98544
Range278.98272
Interquartile range (IQR)25.628795

Descriptive statistics

Standard deviation25.797634
Coefficient of variation (CV)1.1153292
Kurtosis12.786009
Mean23.130063
Median Absolute Deviation (MAD)11.068057
Skewness2.7444427
Sum141625.37
Variance665.51792
MonotonicityNot monotonic
2025-10-10T15:26:34.813017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39.020745611
 
< 0.1%
2.3988759661
 
< 0.1%
42.992960771
 
< 0.1%
34.949659661
 
< 0.1%
12.167455461
 
< 0.1%
45.364492961
 
< 0.1%
2.0187498561
 
< 0.1%
3.1690293691
 
< 0.1%
4.0200621621
 
< 0.1%
5.4466239261
 
< 0.1%
Other values (6113)6113
99.3%
(Missing)33
 
0.5%
ValueCountFrequency (%)
0.0027167435281
< 0.1%
0.0072543039131
< 0.1%
0.0073581821161
< 0.1%
0.0078012013961
< 0.1%
0.007990844151
< 0.1%
0.012460038351
< 0.1%
0.019087300411
< 0.1%
0.019918097021
< 0.1%
0.020972401481
< 0.1%
0.020988858461
< 0.1%
ValueCountFrequency (%)
278.98543641
< 0.1%
265.89886471
< 0.1%
264.4334811
< 0.1%
249.51000051
< 0.1%
236.63853541
< 0.1%
236.46342161
< 0.1%
214.19643971
< 0.1%
208.12097971
< 0.1%
205.3950611
< 0.1%
191.13883911
< 0.1%

stoch_14
Real number (ℝ)

High correlation 

Distinct6138
Distinct (%)99.9%
Missing13
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean59.733844
Minimum0.70022859
Maximum99.303177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:35.243556image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.70022859
5-th percentile5.519429
Q130.719318
median66.778256
Q389.184131
95-th percentile97.841821
Maximum99.303177
Range98.602948
Interquartile range (IQR)58.464813

Descriptive statistics

Standard deviation31.56329
Coefficient of variation (CV)0.52839878
Kurtosis-1.2518735
Mean59.733844
Median Absolute Deviation (MAD)25.863726
Skewness-0.39886912
Sum366945
Variance996.2413
MonotonicityNot monotonic
2025-10-10T15:26:35.531569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63.586709152
 
< 0.1%
91.202672612
 
< 0.1%
28.794413642
 
< 0.1%
88.085425252
 
< 0.1%
51.605132492
 
< 0.1%
5.8337161231
 
< 0.1%
88.333455861
 
< 0.1%
75.892916751
 
< 0.1%
85.449623551
 
< 0.1%
35.610152761
 
< 0.1%
Other values (6128)6128
99.5%
(Missing)13
 
0.2%
ValueCountFrequency (%)
0.70022859241
< 0.1%
0.82716586851
< 0.1%
1.1356466881
< 0.1%
1.2085368991
< 0.1%
1.3236878561
< 0.1%
1.3561058921
< 0.1%
1.3853409311
< 0.1%
1.5037593981
< 0.1%
1.5245451771
< 0.1%
1.6661083191
< 0.1%
ValueCountFrequency (%)
99.303176581
< 0.1%
99.250035381
< 0.1%
99.191458481
< 0.1%
99.150696861
< 0.1%
99.137068531
< 0.1%
99.132420091
< 0.1%
99.098870421
< 0.1%
99.084778421
< 0.1%
99.079474231
< 0.1%
99.074305731
< 0.1%

stoch_smoothk
Real number (ℝ)

High correlation 

Distinct6141
Distinct (%)100.0%
Missing15
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean59.735485
Minimum2.0534357
Maximum98.870772
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:35.875526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.0534357
5-th percentile10.358036
Q131.739624
median66.847402
Q387.46421
95-th percentile95.528852
Maximum98.870772
Range96.817336
Interquartile range (IQR)55.724586

Descriptive statistics

Standard deviation29.632858
Coefficient of variation (CV)0.49606793
Kurtosis-1.2968601
Mean59.735485
Median Absolute Deviation (MAD)24.015235
Skewness-0.3828451
Sum366835.61
Variance878.10629
MonotonicityNot monotonic
2025-10-10T15:26:36.269432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.388807341
 
< 0.1%
62.342835531
 
< 0.1%
87.552165141
 
< 0.1%
22.402276821
 
< 0.1%
85.560828761
 
< 0.1%
93.903230541
 
< 0.1%
94.083883641
 
< 0.1%
94.152866721
 
< 0.1%
85.897273041
 
< 0.1%
86.810259911
 
< 0.1%
Other values (6131)6131
99.6%
(Missing)15
 
0.2%
ValueCountFrequency (%)
2.0534357211
< 0.1%
2.0767242081
< 0.1%
2.3724805171
< 0.1%
2.4316633511
< 0.1%
2.4665023731
< 0.1%
2.4911852371
< 0.1%
2.8142493841
< 0.1%
2.9881683241
< 0.1%
3.0577051651
< 0.1%
3.0693433631
< 0.1%
ValueCountFrequency (%)
98.870771831
< 0.1%
98.751981181
< 0.1%
98.718331441
< 0.1%
98.713265731
< 0.1%
98.611160321
< 0.1%
98.597076871
< 0.1%
98.552143711
< 0.1%
98.509749041
< 0.1%
98.48732761
< 0.1%
98.46085781
< 0.1%

stoch_smoothd
Real number (ℝ)

High correlation 

Distinct6139
Distinct (%)100.0%
Missing17
Missing (%)0.3%
Infinite0
Infinite (%)0.0%
Mean59.737489
Minimum2.1988874
Maximum98.514578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.2 KiB
2025-10-10T15:26:36.556372image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2.1988874
5-th percentile11.825532
Q132.508503
median66.703488
Q386.733209
95-th percentile94.525176
Maximum98.514578
Range96.315691
Interquartile range (IQR)54.224705

Descriptive statistics

Standard deviation28.788491
Coefficient of variation (CV)0.48191666
Kurtosis-1.2997123
Mean59.737489
Median Absolute Deviation (MAD)23.377989
Skewness-0.37635434
Sum366728.45
Variance828.77722
MonotonicityNot monotonic
2025-10-10T15:26:36.998278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54.915765811
 
< 0.1%
33.694740351
 
< 0.1%
63.24815361
 
< 0.1%
53.463738121
 
< 0.1%
86.71178551
 
< 0.1%
12.379852561
 
< 0.1%
91.182647651
 
< 0.1%
94.04666031
 
< 0.1%
91.37800781
 
< 0.1%
88.953466561
 
< 0.1%
Other values (6129)6129
99.6%
(Missing)17
 
0.3%
ValueCountFrequency (%)
2.1988874341
< 0.1%
2.4220095571
< 0.1%
3.0964334411
< 0.1%
3.1420591161
< 0.1%
3.584963711
< 0.1%
3.6379603981
< 0.1%
4.0438603211
< 0.1%
4.1950406321
< 0.1%
4.2926759161
< 0.1%
4.30587341
< 0.1%
ValueCountFrequency (%)
98.5145781
< 0.1%
98.454436731
< 0.1%
98.415825191
< 0.1%
98.392160331
< 0.1%
98.291337191
< 0.1%
98.268995681
< 0.1%
98.264755181
< 0.1%
97.974384531
< 0.1%
97.949915971
< 0.1%
97.886631951
< 0.1%

Interactions

2025-10-10T15:26:21.284349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:13.976427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:17.543282image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:21.203520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:24.908935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:28.592688image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:32.342309image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:36.513523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:40.526193image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:44.061512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:47.553695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:51.737816image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:55.211792image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:59.220268image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:03.062257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:06.872957image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:10.598975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:14.169552image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:17.503023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:21.454888image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:14.181692image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:17.697690image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:21.378961image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:25.078582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:28.750465image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:32.579738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:36.701378image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:40.690531image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:44.288833image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:47.800805image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:51.896034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:55.345023image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:59.567054image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:03.252041image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:07.065911image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:10.767300image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:14.368794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:17.609025image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:21.768894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:14.353712image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:17.921726image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:21.544456image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:25.262495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:28.956270image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:32.889305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:36.877438image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:40.923351image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:44.466374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:48.166218image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:52.022137image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:55.514535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:59.769863image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:03.451111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:07.232851image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:10.905819image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:14.624149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:17.758862image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:21.965714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:14.507159image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:18.107560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:21.714783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:25.471328image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:29.115005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:33.061129image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:37.056573image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:41.099663image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:44.639061image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:48.308173image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:52.193973image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:55.742337image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:00.000134image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:03.658031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:07.388696image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:11.051518image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:14.816022image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:17.907535image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:22.154479image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:14.644919image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:18.259771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:21.891648image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:25.698338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:29.306655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:33.215073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:37.279020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:41.256463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:44.853568image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:48.479500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:52.382591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:56.062369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:00.196585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:03.826982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:07.539987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:11.246904image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:15.043469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:18.115658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:22.361941image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:14.895991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:18.468278image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:22.096922image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:25.973124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:29.443538image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:33.375762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:37.504812image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:41.459647image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:45.018695image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:48.649007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:52.568297image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:56.277153image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:00.366358image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:04.020371image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:07.749982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:11.450977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:15.250105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:18.353238image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:22.505645image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:15.064484image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:18.699714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:22.288901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:26.187365image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:29.601515image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:33.506427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:37.737186image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:41.651073image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:45.189665image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:48.916855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:52.894533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:56.486890image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:00.548671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:04.182581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:07.979982image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:11.698050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:15.436387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:18.563608image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:22.652114image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:15.288659image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:18.892097image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:22.484680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:26.352063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:29.865273image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:33.725876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:37.941988image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:41.821892image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:45.392039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:49.220104image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:53.102050image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:56.694900image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:00.722183image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:04.582951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:08.243240image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:11.876720image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:15.586907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:18.759057image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:22.802350image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:15.538017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:19.069737image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:22.765981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:25:26.497542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-10-10T15:26:10.435967image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:14.021430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:17.395562image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-10-10T15:26:21.167611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-10-10T15:26:37.303727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closedaily_returnhighlog_returnlowma_20ma_5macd_12_26macd_histogram_12_26macd_signal_12_26macd_signal_strengthopenprice_rangersi_14stoch_14stoch_smoothdstoch_smoothkvolatility_20volatility_5
close1.000-0.0101.000-0.0101.0000.9981.0000.257-0.0140.2710.5071.0000.7030.0670.0470.0520.052-0.468-0.368
daily_return-0.0101.000-0.0181.000-0.016-0.025-0.0240.0470.1590.001-0.017-0.024-0.0880.3220.4730.0590.1800.0220.034
high1.000-0.0181.000-0.0181.0000.9991.0000.255-0.0170.2700.5081.0000.7080.0630.0410.0510.049-0.465-0.365
log_return-0.0101.000-0.0181.000-0.016-0.025-0.0240.0470.1590.001-0.017-0.024-0.0880.3220.4730.0590.1800.0220.034
low1.000-0.0161.000-0.0161.0000.9981.0000.258-0.0140.2720.5051.0000.7000.0660.0450.0540.052-0.470-0.371
ma_200.998-0.0250.999-0.0250.9981.0000.9990.227-0.0510.2510.5120.9990.7110.0280.0080.0150.013-0.462-0.358
ma_51.000-0.0241.000-0.0241.0000.9991.0000.253-0.0240.2700.5081.0000.7060.0550.0320.0460.042-0.468-0.367
macd_12_260.2570.0470.2550.0470.2580.2270.2531.0000.2980.944-0.0360.2560.0280.7780.5030.6540.597-0.350-0.354
macd_histogram_12_26-0.0140.159-0.0170.159-0.014-0.051-0.0240.2981.0000.038-0.006-0.017-0.1480.5760.7350.7470.7790.041-0.168
macd_signal_12_260.2710.0010.2700.0010.2720.2510.2700.9440.0381.000-0.0370.2710.0700.6410.3100.4580.390-0.381-0.323
macd_signal_strength0.507-0.0170.508-0.0170.5050.5120.508-0.036-0.006-0.0371.0000.5070.581-0.151-0.076-0.063-0.0670.0650.044
open1.000-0.0241.000-0.0241.0000.9991.0000.256-0.0170.2710.5071.0000.7050.0620.0390.0510.049-0.468-0.368
price_range0.703-0.0880.708-0.0880.7000.7110.7060.028-0.1480.0700.5810.7051.000-0.187-0.177-0.138-0.1670.0200.110
rsi_140.0670.3220.0630.3220.0660.0280.0550.7780.5760.641-0.1510.062-0.1871.0000.8510.8310.862-0.276-0.314
stoch_140.0470.4730.0410.4730.0450.0080.0320.5030.7350.310-0.0760.039-0.1770.8511.0000.8010.910-0.112-0.228
stoch_smoothd0.0520.0590.0510.0590.0540.0150.0460.6540.7470.458-0.0630.051-0.1380.8310.8011.0000.954-0.164-0.311
stoch_smoothk0.0520.1800.0490.1800.0520.0130.0420.5970.7790.390-0.0670.049-0.1670.8620.9100.9541.000-0.141-0.285
volatility_20-0.4680.022-0.4650.022-0.470-0.462-0.468-0.3500.041-0.3810.065-0.4680.020-0.276-0.112-0.164-0.1411.0000.714
volatility_5-0.3680.034-0.3650.034-0.371-0.358-0.367-0.354-0.168-0.3230.044-0.3680.110-0.314-0.228-0.311-0.2850.7141.000

Missing values

2025-10-10T15:26:24.867349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-10-10T15:26:25.352467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-10-10T15:26:26.021773image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

dateopenhighlowclosevolumedaily_returnlog_returnprice_rangema_5ma_20volatility_5volatility_20rsi_14macd_12_26macd_signal_12_26macd_histogram_12_26macd_signal_strengthstoch_14stoch_smoothkstoch_smoothd
02001-01-01 00:00:00+05:301263.501276.151250.651254.300NaNNaN25.50NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12001-01-02 00:00:00+05:301254.251279.591248.551271.8000.0139520.01385631.04NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
22001-01-03 00:00:00+05:301271.801293.551263.951291.2500.0152930.01517829.60NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
32001-01-04 00:00:00+05:301291.301331.351291.301307.6500.0127010.01262140.05NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
42001-01-05 00:00:00+05:301307.551330.301306.251327.2500.0149890.01487724.051290.45NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
52001-01-08 00:00:00+05:301327.351334.201303.341309.250-0.013562-0.01365530.861301.44NaN0.012472NaNNaNNaNNaNNaNNaNNaNNaNNaN
62001-01-09 00:00:00+05:301309.201323.401304.901311.6500.0018330.00183118.501309.41NaN0.012367NaNNaNNaNNaNNaNNaNNaNNaNNaN
72001-01-10 00:00:00+05:301311.651324.351285.301287.300-0.018564-0.01873939.051308.62NaN0.015137NaNNaNNaNNaNNaNNaNNaNNaNNaN
82001-01-11 00:00:00+05:301287.501296.751275.951280.400-0.005360-0.00537420.801303.17NaN0.013228NaNNaNNaNNaNNaNNaNNaNNaNNaN
92001-01-12 00:00:00+05:301280.451298.841279.401286.7500.0049590.00494719.441295.07NaN0.009960NaNNaNNaNNaNNaNNaNNaNNaNNaN
dateopenhighlowclosevolumedaily_returnlog_returnprice_rangema_5ma_20volatility_5volatility_20rsi_14macd_12_26macd_signal_12_26macd_histogram_12_26macd_signal_strengthstoch_14stoch_smoothkstoch_smoothd
61462025-09-19 00:00:00+05:3025410.2025431.4025286.3025327.050-0.003798-0.003805145.1025277.8424899.81000.0043510.00520763.708241136.81646466.09748570.71897970.71897986.88188394.23346495.780709
61472025-09-22 00:00:00+05:3025238.1025331.7025151.0525202.350-0.004924-0.004936180.6525304.4724916.42250.0051350.00493558.187899134.21609479.72120754.49488754.49488773.10318585.84299992.604987
61482025-09-23 00:00:00+05:3025209.0025261.9025084.6525169.500-0.001303-0.001304177.2525290.5524926.51000.0040470.00489256.791821128.02872789.38271138.64601638.64601666.25551775.41352885.163330
61492025-09-24 00:00:00+05:3025108.7525149.8525027.4525056.900-0.004474-0.004484122.4025235.8824943.75250.0035560.00437352.171247112.73972194.05411318.68560818.68560852.63921663.99930675.085278
61502025-09-25 00:00:00+05:3025034.5025092.7024878.3024890.850-0.006627-0.006649214.4025129.3324963.25000.0019390.00417646.20155586.23021992.489334-6.2591166.25911619.98565346.29346261.902099
61512025-09-26 00:00:00+05:3024818.5524868.6024629.4524654.700-0.009487-0.009533239.1524994.8624974.64250.0030030.00470539.31215645.63980883.119429-37.47962137.4796213.08265225.23584045.176203
61522025-09-29 00:00:00+05:3024728.5524791.3024606.2024634.900-0.000803-0.000803185.1024881.3724975.13500.0036500.00435238.78987411.73860568.843264-57.10465957.1046593.4071358.82514626.784816
61532025-09-30 00:00:00+05:3024691.9524731.8024587.7024611.100-0.000966-0.000967144.1024769.6924976.71000.0037270.00433638.134049-16.85451551.703708-68.55822368.5582232.7182443.06934312.376777
61542025-10-01 00:00:00+05:3024620.5524867.9524605.9524836.3000.0091500.009109262.0024725.5724982.77250.0071410.00464247.226147-21.09978537.143010-58.24279558.24279528.87843411.6679387.854142
61552025-10-03 00:00:00+05:3024759.5524904.8024747.5524894.2500.0023330.002331157.2524726.2524990.77000.0067220.00466449.291357-19.56260725.801886-45.36449345.36449335.61015322.40227712.379853